In: Statistics and Probability
Employee Number | Age | Salary | Degree | Gender |
1. | 32 | $98,000 | None | Female |
2. | 35 | $121,00 | Bachelors | Female |
3. | 48 | $125,000 | Masters | Male |
4. | 40 | $141,000 | Masters | Male |
5. | 43 | $152,000 | Masters | Male |
Visit with a company of your interest Your Task: 1. Collect the following Information a. Age of the employees b. Salary of each employee c. highest degree possible d. Gender of each employee Employee Table of Information Collected form #1 above.
2. Stem-and-Leaf Display for the age of the employee
3. Descriptive statistics for the salary
4. Histogram between degree and Salary
5. What is the probability that employee is female?
6. What is the probability that employee makes above the average salary (Look at the mean in number 2)?
Please post answer in excel spreadsheet as an attachment. Thank you.
1. a) Age of the employees:
Age |
32 |
35 |
48 |
40 |
43 |
b) Salary of each employee
Salary |
$98,000 |
$121,00 |
$125,000 |
$141,000 |
$152,000 |
c) highest degree possible
Degree |
None |
Bachelors |
Masters |
Masters |
Masters |
d) Gender of each employee Employee
Gender |
Female |
Female |
Male |
Male |
Male |
2) Stem and leaf of age of employee
3.Descriptive Statistics for the salary
4. Histogram between degree and Salary
5. The probability that employee is female is 2/5 = 0.4
6. The probability that employee makes above the average salary is 2/5 = 0.4
since the number of employees above average salary (i.e. 127400) is 2